The Modern Data Company

JULY 18, 2023

The design should enable users to easily access, explore, analyze, and visualize data, empowering them to derive insights without extensive technical expertise. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 69

Data Governance High Quality Data Government Data 69

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52

Snowflake

JUNE 5, 2024

At the same time, organizations must ensure the right people have access to the right content, while also protecting sensitive and/or Personally Identifiable Information (PII) and fulfilling a growing list of regulatory requirements. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data.

Government 103

Government Accessibility Accessible Cloud 103

Snowflake

JANUARY 15, 2024

Simplicity and speed Typically, users would employ cloud mass ingestion or change data capture through Informatica to integrate data, which involves logging into different user interfaces. Enterprise Data Integrator is fueled by Informatica Superpipe for Snowflake, which enables up to 3.5x

Data Integration 103

Data Integration BI Cloud Data 103

Snowflake

NOVEMBER 12, 2024

Managing application state and metadata Use Hybrid Tables as the system of record for application configuration, user profiles, workflow state and other metadata that needs to be accessed with high concurrency. Watch a demo of a low-latency data serving with Hybrid Tables. Build your own to-do list application in five minutes.

Food 73

Food Metadata Education AWS 73

The Modern Data Company

JULY 18, 2023

The design should enable users to easily access, explore, analyze, and visualize data, empowering them to derive insights without extensive technical expertise. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 52

Data Governance High Quality Data Government Data 52

The Modern Data Company

JULY 18, 2023

The design should enable users to easily access, explore, analyze, and visualize data, empowering them to derive insights without extensive technical expertise. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 52

Data Governance High Quality Data Government Data 52

Cloudera

MARCH 14, 2023

They are being asked to deliver not just theoretical data strategies, but to roll up their sleeves and solve for the very real problems of disparate, heterogenous, and rapidly expanding data sources that make it a challenge to meet increasing business demand for data — and do it all while managing costs and ensuring security and data governance.

Designing 78

Designing Data Pipeline Data Governance Government 78

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

FEBRUARY 15, 2023

Limited resources: Data management has always been resource intensive, but not all organizations can maintain a full data team. Without suitable resources for company-wide data management, it’s easier to fall behind. Find out how DataOS can help you chip away at your data debt.

Government 98

Government Data Governance Raw Data Data 98

The Modern Data Company

JULY 31, 2023

Unified governance, particularly challenging in fragmented data stacks with numerous tools and data assets, is addressed through the infrastructure piece of Data Products.

Government 98

Government Data Governance Architecture Data Pipeline 98

Snowflake

JANUARY 29, 2024

Google Analytics, a tool widely used by marketers, provides invaluable insights into website performance, user behavior and critical analytic data that helps marketers understand the customer journey and improve marketing ROI. Your data will now automatically refresh within your Snowflake account based on your preferred frequency.

Raw Data 115

Raw Data Aggregated Data Cloud Data 115

Monte Carlo

JULY 15, 2024

Key Responsibilities of Data Owners The primary responsibility of a data owner is ensuring the quality, accuracy, and integrity of their assigned data assets. Career advancement: As organizations become more data-centric, your role as a data owner offers opportunities for career growth.

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. Data warehouses offer the optimized performance you need.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Monte Carlo

JUNE 6, 2023

But is there more to generative AI than a fancy demo on Twitter? And how will it impact data? How generative AI will disrupt data With the advent of OpenAI’s DALL-E and ChatGPT, large language models became much more useful to the vast majority of humans. It’s inevitable that generative AI will disrupt data, too.

Data Engineering 84

Data Engineering Data Engineer Engineering Business Intelligence 84

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. Data warehouses offer the optimized performance you need.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. Data warehouses offer the optimized performance you need.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Snowflake

FEBRUARY 21, 2023

Financial institutions also continue to be challenged to understand and identify PII to prevent inadvertently disclosing it, all while working to implement data governance policies, which result in better accountability and help identify risks while staying true to business initiatives.

Banking 64

Banking Finance Data Governance Portfolio 64

Monte Carlo

JULY 22, 2024

Providing mechanisms to access and compare different versions. By implementing data versioning, you can create a systematic approach to managing the evolution of your data. Why is Data Versioning Important? We define guidelines for version naming, retention, and access control, considering the impact on our ETL processes.

Metadata 52

Metadata Datasets ETL Tools Data 52

The Modern Data Company

APRIL 12, 2023

Silos can limit data visibility across an organization, preventing healthcare providers from having a complete and up-to-date view of a patient’s health history. They can make accessing data from multiple sources difficult, resulting in duplication of effort and reduced efficiency.

Healthcare 98

Healthcare Medical Hospitality Electronics 98

The Modern Data Company

FEBRUARY 2, 2024

In today’s fast-paced business environment, data-driven insights are the lifeblood of staying ahead. Any delay in accessing or utilizing this crucial information represents not just lost time but forfeited opportunities and stunted innovation. Request a demo today and see the difference for yourself.

Raw Data 75

Raw Data Utilities Government Data 75

Monte Carlo

MAY 20, 2024

On the other hand, a data catalog aims to provide a macro view of an organization’s data landscape. It emphasizes discoverability, accessibility, and governance of data assets, promoting an integrated approach to data management across multiple platforms and stakeholders.

Datasets 52

Datasets Data Government Business Analyst 52

Snowflake

MARCH 5, 2024

For example: Custom text summaries in JSON format Turning email domains into rich data sets Building data quality agents using LLMs All of these and more can quickly be accomplished with the power of industry-leading foundation models from Mistral AI ( Mistral Large , Mistral 8x7B , Mistral 7B ), Google (Gemma-7b) and Meta (Llama2 70B).

Government 99

Government Data Preparation AWS Data Governance 99

Precisely

MAY 3, 2023

ET for exciting keynotes, interactive panels, breakout sessions, and brand-new demos – all chock-full of valuable insights and takeaways for everyone, across industries. And, you’ll be able to see these capabilities in action with an exclusive demo. And, we’ll share how our latest innovations help you unlock success along the way.

Data Integration 52

Data Integration AWS Government Data Governance 52

Snowflake

SEPTEMBER 21, 2023

Leaders across the Modern Marketing Data Stack are responding to these challenges and differentiating their products by giving brands more access to and control of data. Storing and processing data in the brand’s Snowflake account For some marketing organizations, access to live, ready-to-query data isn’t enough.

Google Cloud 90

Google Cloud Unstructured Data Technology Data 90

Precisely

MAY 31, 2023

With the right enterprise-grade technology, organizations can find simple solutions to complex data integrity challenges at scale. The act of bringing data into hybrid cloud and VPC environments doesn’t solve data integrity challenges by itself. The end result is that users can’t trust their data because it lacks integrity.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Monte Carlo

AUGUST 28, 2024

With the Data Product Dashboard, you can see real-time metrics for all of your critical data products to understand at-a-glance what’s working, where there are data quality gaps, and how you’re tracking toward your OKRs. Keep reading to get all the details, or schedule a demo to see it live.

Government 40

Government Data Data Governance Systems 40

The Modern Data Company

JULY 31, 2023

Unified governance, particularly challenging in fragmented data stacks with numerous tools and data assets, is addressed through the infrastructure piece of Data Products.

Government 52

Government Data Governance Architecture Data Pipeline 52

The Modern Data Company

JULY 31, 2023

Unified governance, particularly challenging in fragmented data stacks with numerous tools and data assets, is addressed through the infrastructure piece of Data Products.

Government 52

Government Data Governance Architecture Data Pipeline 52

Snowflake

AUGUST 21, 2023

Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use. Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Snowflake

JANUARY 23, 2024

This is a first-class, schema-level Snowflake object that provides a versioned container of ML model artifacts with full role-based access control (RBAC) support, and APIs for Python and SQL. Ready to see Snowpark ML in action? The post Accelerate Your Machine Learning Workflows in Snowflake with Snowpark ML appeared first on Snowflake.

Machine Learning 121

Machine Learning Metadata Python Telecommunication 121

Data Engineering Podcast

FEBRUARY 24, 2020

Your team will get the most complete, accurate and ready-to-use behavioral web and mobile data, delivered into your data warehouse, data lake and real-time streams. Set up a demo and mention you’re a listener for a special offer! Set up a demo and mention you’re a listener for a special offer!

IT 100

IT Data Lake Data Pipeline Media 100

Monte Carlo

MAY 25, 2023

Now, these two platforms work in tandem to provide data teams with enhanced visibility into key data operations and granular insights for data asset discovery and exploration. The pipeline might succeed, but we wouldn’t know if the data was right, wrong, or indifferent.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

Data Engineering Podcast

SEPTEMBER 28, 2020

To make the benefits of the Kafka ecosystem more accessible and reduce the operational burden, Alexander Gallego and his team at Vectorized created the Red Panda engine. Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance?

Kafka 100

Kafka Big Data BI Data Engineering 100

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Data Consumption The consumption layer is essential for extracting and leveraging data from storage systems. Encryption: Secures data both at rest and in transit to prevent unauthorized access.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98